Why Shopper Data Is the Only Advantage That Can't Be Undercut
Every time a major national retailer moves on price, the rest of the industry braces for the same reflex: match it, or risk losing the shopper.
I understand the instinct. What I don't understand is why so many retailers keep treating it as a strategy instead of what it actually is: a short-term play that only the largest players can sustain for long.
Price matching doesn't build loyalty. It buys a single trip, maybe two, and it does nothing to make a shopper feel like a retailer actually knows them. Once the promotion ends, so does the reason they came back.
The more durable advantage in grocery right now isn't price. It's relevance, and most retailers are already sitting on the raw material to build it. Years of transaction history, loyalty data and purchase patterns exist in nearly every retailer's systems today.
The problem isn't a lack of data. It's that most of it never gets activated into anything a shopper actually experiences.
I've seen what happens when it does, and it usually shows up in small, unglamorous ways. A weekly circular that reflects what a specific household actually buys, rather than the same static flyer mailed to every home in a ZIP code. A promotion built around one shopper's real habits instead of a blanket discount everyone gets whether they want it or not.
None of this requires a retailer to be the biggest name in the market. It requires using what they already know.
How AI (and Discipline) Can Help
This is where AI earns its place in the conversation. Not as a buzzword, but as the thing that makes relevance possible at the scale in which grocery actually operates. No retailer can manually build a personal offer for every individual shopper across a chain of stores.
AI is what turns years of transaction and loyalty history into something that updates in real time, matching an offer to a shopper the moment it matters, rather than weeks after the fact in a quarterly report nobody acts upon.
This isn't just about technology. It's about discipline. The retailers I talk to who are getting this right didn't start with a tool. They started by asking a harder question: What do we actually know about this shopper, and are we using any of that data right now?
For most retailers, the honest answer is no. The data sits in a system built for reporting, not for action. The gap between "we have this information" and "this information changed what a shopper saw today" is where most of the missed opportunity lives.
That gap is also where the real competitive separation is going to happen over the next few years. A retailer with a smaller footprint and a fraction of a national chain's buying power can still out-compete on relevance, because relevance isn't a function of scale.
It's a function of how well a retailer uses what it already knows about the people walking through its doors, browsing its app or opening its circular. That's not something a competitor can undercut with a bigger discount.
The retailers who win the next phase of grocery competition won't be the ones who cut price the deepest. They'll be the ones who treat every shopper interaction, a circular open, a coupon clip or a repeat visit as a signal worth a strategic action.
For a lot of retailers, that's the real gap between declining comp sales and comps that hold flat or grow. The data for that has been sitting there all along.
The only question left is whether a retailer is willing to put it to work.
About the Author
Sean Turner, chief technology officer and co-founder at Swiftly, has spent almost two decades building technology, with the last decade focused on helping brands and retailers succeed in the digital and AI era. Previously he was head of product at Symphony Commerce, helping Symphony transition from serving mid-market brands to enterprise customers. Before Symphony, Sean worked at Microsoft as a technology lead covering products including Bing Advertising, speech recognition, and the Starbucks app for the Windows platform.
